\emph{National Research and Education Networks} (NRENs), like most other networks,
make extensive use of monitoring systems to keep track of their networking devices and
to assure continous service to their users.

Due to the nature of NRENs the data that is constantly being collected, is also shared
accross domain borders, for research purposes. The sharing is acchieved by the use of
distributed \emph{Multi-Domain Monitoring} (MDM) systems that in turn utilize
technologies such as \emph{Service Oriented Architecture} (SOA) for the purpose of
providing a common access scheme. A framework that is used by NRENs for that purpose
is \emph{perfSONAR.}

When taking account of the need to lower $CO_2$-emissions by reducing energy
consumption, the hereabove mentioned MDM systems enable interessting usage scenario
as they provide the foundation for inclusion of energy data in the distribution. The
availability of the energy data on a multi-domain level introduces possibilities for
energy-aware networks.

The project examines more closely whether existing performance monitoring tools that
define all of those distributed and robust capabilities can be instrumented for
monitoring energy consumption and more general metrics. Furthermore investigation is
done on how to define energy metrics and what applications their aivailability provide
in green path decissioning.

\section{Related work}
An extensive energy aware semantic model capable of providing energy knowledge has
recently been published~\cite{EDL}. However, its complexity does not fit into the
scope of this project, as it would require to either additionally extend perfSONAR
with ontology capabilities or to flatten its structure, which takes away its strength.
Furthermore research has been done on how network performance metrics should be
composed~\cite{composition}, which provides a base for the composition of energy
metrics.

\section{Research Questions}
This leads to the research questions:
\\
\\
\emph{"What metrics need to be considered in order to build energy profiles of
networking devices and how can such data be published by using distributed
multi-domain monitoring systems."}
\\
\\
Specifically saying:
\\
\emph{"Is perfSONAR-PS a suitable architecture to achieve energy profiling of
computational devices, and what are the necessary steps to be undertaken to evolve
perfSONAR-PS in a system we can call 'GreenSONAR'?"}

\section{Thesis Outline}
The remainder of the report is organized as follows. In
section~\ref{sec:energy_profiling} an introduction
to~\emph{\nameref{sec:energy_profiling}} is given. Section~\ref{sec:metrics} gives
insight on the choice of\emph{~\nameref{sec:metrics}} for the energy profiles.
Afterwards section~\ref{sec:perfsonar} then presents
the~\emph{\nameref{sec:perfsonar}} framework and its implementations.
Section~\ref{sec:greensonar}~(\emph{\nameref{sec:greensonar}}) describes the proposed
extension of perfSONAR through which energy-aware networking can be enabled. After
presenting the\emph~{\nameref{sec:results}} in section~\ref{sec:results} they are
discussed in section~\ref{sec:conclusion}, which concludes this report.
